鉴于边坡系统影响因素之间的高度非线性和不确定性,融合RS-GP模型的优势,提出了依据边坡稳定性影响因素类比计算边坡安全系数的方法.该方法通过学习样本的数据特征分析、计算属性的重要性及约简规则,降低了遗传规划预测模型的结构规模.人工神经网络(ANN)模型与RS-GP模型计算结果比较表明:该方法具有计算速度快、容错能力强及精度高等特点. In view of the high degree of nonlinearity and uncertainty between the factors influencing the slope system and the merits of the RS-GP model, a method of calculating the slope safety factor based on the analogy of slope stability influencing factors is proposed. Feature analysis, the importance of attribute calculation and the rules of reduction, the structure scale of the genetic programming prediction model is reduced.The comparison between artificial neural network (ANN) model and RS-GP model shows that the proposed method has the advantages of fast computation and strong fault tolerance And high precision.